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Early detection of esca disease in grapevines is fundamental to calibrating proper pesticide use in sustainable vineyard management systems. This article is a proof of concepts showing that the Raman spectroscopy (RS) combined with a chemometric analysis can be used as a nondestructive sensor to implement precision agriculture for early detection of the disease through a new biochemical marker. Symptomatic and symptomless branches from an esca-developing vine and from healthy esca-free vines from a vineyard were investigated by RS and chemometrics, using the final outcome of the specific disease syndrome as the final benchmark. As a result, the model is always able to correctly classify all the test samples, showing auspicious results to perform precision agriculture-based future therapeutic approaches.

Early Detection of Esca Disease in Asymptomatic Vines by Raman Spectroscopy